dev-tooling

Agent Skills and AGENTS.md: How to Organize What Your AI Agent Can Do

Agent skills are converging on a shared convention built around AGENTS.md and agent-optimized CLIs. Here's what that means, why how you organize skills changes runtime behavior, and how to structure agent tooling so the right capability fires at the right time.

06/13/2026 · AI Tutorials · 8 min read

Building a Reliable AI Agent Framework in 2026: Apache Burr and the Agent-Native Tooling Stack

Choosing a reliable AI agent framework now matters more than raw capability. Here's how Apache Burr's state-machine model approaches reliability, how it compares to LangGraph, and where agent-native tooling fits.

06/13/2026 · AI Tutorials · 10 min read

How Agent Environments Are Standardizing: OpenEnv, AGENTS.md, and Automation-as-Code

In a single week, three signals — OpenEnv, the AGENTS.md convention, and browser automations-as-code — pointed the same direction: AI agent infrastructure is converging on shared standards. Here's a practitioner's map of the emerging stack.

06/09/2026 · Research · 9 min read

How to Build a Reliable Browser Automation Agent (2026 Guide)

A browser automation agent can click, type, and scrape like a human — but reliability, not intelligence, is what breaks in production. Here's how to build and evaluate one that survives a site redesign.

06/09/2026 · AI Tutorials · 9 min read

AI Browser Automation as Code: How to Build Browser Agents That Don't Break

AI browser automation promises agents that click through any website on command — but in production they go flaky fast. Here's why, and how the "automation as code" pattern makes browser agents reliable enough to ship.

06/09/2026 · AI Tutorials · 10 min read

Agent Skills Explained: Building Reusable Claude Code Skills (With a TDD Example)

Stop re-prompting your coding agent from scratch. "Skills" are the unit of reuse for agents — here's the anatomy of a skill, why it beats one-off prompting, and a worked test-driven development example you can adapt.

06/07/2026 · AI Tutorials · 10 min read

How to Reduce AI Coding Agent Costs Without Slowing Your Team Down

AI coding agent bills have become a board-level line item, and some companies are already capping usage. Here are the levers — model routing, caching, scoped budgets, and observability — that cut spend without killing developer velocity.

06/07/2026 · AI Tutorials · 9 min read

How to Cut AI Agent Token Costs: A 2026 Playbook for Coding Agents

AI agent and Claude Code bills have become a real budget line, and some teams are now rate-limiting usage. Here are the levers that actually cut token spend — MCP design, context hygiene, caching, model routing, and usage caps.

06/06/2026 · AI Tutorials · 9 min read